We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Particle swarm optimization of an extended Kalman filter for speed and rotor flux estimation of an induction motor drive.
- Authors
Laamari, Yahia; Chafaa, Kheireddine; Athamena, Belkacem
- Abstract
A novel method based on a combination of the extended Kalman filter with particle swarm optimization (PSO) to estimate the speed and rotor flux of an induction motor drive is presented. The proposed method will be performed in two steps. As a first step, the covariance matrices of state noise and measurement noise will be optimized in an off-line manner by the PSO algorithm. As a second step, the optimal values of the above covariance matrices are injected in our speed-rotor flux estimation loop (on-line). Computer simulations of the speed and rotor flux estimation have been performed to investigate the effectiveness of the proposed method. Simulations and comparison with genetic algorithms show that the results are very encouraging and achieve good performances.
- Subjects
INDUCTION motors; PARTICLE swarm optimization; ROTORS; SPEED of electric motors; ELECTRIC drives; ELECTRONIC noise
- Publication
Electrical Engineering, 2015, Vol 97, Issue 2, p129
- ISSN
0948-7921
- Publication type
Article
- DOI
10.1007/s00202-014-0322-1